ArticulatedMotion

复杂网络中的计算工具，聚类系数和平均聚类系数的函数(The complexity of network computing tools, clustering coefficient and average clustering coefficient of the function)

当信噪比较大时，采用广义最小二乘法可能会出现多个局部收敛点，解决这个问题的方法可用多级最小二乘法，一般来说多级最小二乘法包含三级辨识过程。利用输入输出数据，通过多级最小二乘法，可分别求的辅助模型，过程模型和噪声模型的参数估计值。在高噪声的情况下，多级最小二乘法明显优于广义最小二乘法，其收敛点唯一。(When the signal noise ratio (SNR), and by use of the generalized least squares method may appear more local convergence point, the way of solving this problem can be used multistage least squares method, and generally multistage least squares method includes three identification process. Using input/output data, through the multistage least squares, respectively for the auxiliary model, process model and noise model parameter estimation. In the high noise, multistage least squares method is obviously superior to the generalized least squares method, and its convergence point only.)

Convert single precision IEEE hexadecimal string to number. By Matthias Nö ll.

阵列信号用LCMV算法得到的波束形成，和图像(With LCMV algorithm are array signal beam-forming, and image )

本文介绍kalman滤波的基本原理及发展现状，主要从模型的建立和非线性模型的线性化两方面进行介绍(In this paper, the basic principle of kalman filter and the development present situation, mainly from the establishment of model and the linearization of the nonlinear model is presented in two aspects)

Texture Analysis Using DWT for Grape Plant Species Classification:- By observing leaf, we can easily identify plant but it is difficult to identify its species. In this project we developed an algorithm that gives user the ability to identify plant species based on photographs of the leaf. The core theme of this application is an algorithm that acquires statistical features of the leaves, and then classifies the species based on a novel combination of the computed texture feature analysis and wavelet analysis. While implementing this algorithm we have considered the Grape plant and its four species viz. Clone, Sonaka, Thomson and Manik. The algorithm is first trained against several samples of known plant species and then used to classify unknown query species. By using this algorithm we have achieved 93.33 efficiency

Graphic user interfase who desing dynamic systems of second order from college assigment in Barranquilla, Colombia

Tutorial for cmex in matlab builing c(cmex matlab)

MATLAB GUIDE TO BEGINNERS

EEg信号去噪，使用阈值法实现，并对去噪前后的信号完成比较，以实现去噪(failed to translate)